Live migration of virtual machine based on recovering system and CPU scheduling

With the development of distributed computing and cloud computing, live migration of virtual machines across distinct hosts has become a hot research topic. Many previous approaches focused on transferring memory states, which make VM migration cost much downtime. This paper describes a novel approach based on recovering system and CPU scheduling to provide fast, transparent live migration. Target host executes log files generated on source host to synchronize the states of source and target hosts, during which a CPU scheduling mechanism is used to adjust the log generation rate. We also make a mathematical analysis about our approach and give a experiment to evaluate the performance. The experiment shows our approach can reduce the downtime and total migration time compared with pre-copy algorithm: up to 62.12% on downtime and 43.84% on total migration time.